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[rllib] Add a simple REST policy server and client example #2232
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from __future__ import absolute_import |
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we should probably move examples into another repo (or at least something more accessible)
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This looks fine. We should expose this in the docs (and overall do a better job exposing examples).
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* 'master' of https://github.com/ray-project/ray: (157 commits) Fix build failure while using make -j1. Issue 2257 (ray-project#2279) Cast locator with index type (ray-project#2274) fixing zero length partitions (ray-project#2237) Make actor handles work in Python mode. (ray-project#2283) [xray] Add error table and push error messages to driver through node manager. (ray-project#2256) addressing comments (ray-project#2210) Re-enable some actor tests. (ray-project#2276) Experimental: enable automatic GCS flushing with configurable policy. (ray-project#2266) [xray] Sets good object manager defaults. (ray-project#2255) [tune] Update Trainable doc to expose interface (ray-project#2272) [rllib] Add a simple REST policy server and client example (ray-project#2232) [asv] Pushing to s3 (ray-project#2246) [rllib] Remove need to pass around registry (ray-project#2250) Support multiple availability zones in AWS (fix ray-project#2177) (ray-project#2254) [rllib] Add squash_to_range model option (ray-project#2239) Mitigate randomly building failure: adding gen_local_scheduler_fbs to raylet lib. (ray-project#2271) [rllib] Refactor Multi-GPU for PPO (ray-project#1646) [rllib] Envs for vectorized execution, async execution, and policy serving (ray-project#2170) [Dataframe] Change pandas and ray.dataframe imports (ray-project#1942) [Java] Replace binary rewrite with Remote Lambda Cache (SerdeLambda) (ray-project#2245) ...
What do these changes do?
This adds an example implementation of a policy server and client using rllib's ServingEnv.